Recent recorded grades — Spring 2024: 3.70 GPA, 80.0% A/AB (n=30 letter grades); Spring 2025: 3.71 GPA, 78.9% A/AB (n=19 letter grades); Spring 2026: 3.95 GPA, 95.2% A/AB (n=21 letter grades).
Introduction to Nutritional Epidemiology
The course introduces techniques for evaluating diet-health-disease relationships in human populations.
Summary
Recent recorded grades — Spring 2024: 3.70 GPA, 80.0% A/AB (n=30 letter grades); Spring 2025: 3.71 GPA, 78.9% A/AB (n=19 letter grades); Spring 2026: 3.95 GPA, 95.2% A/AB (n=21 letter grades).
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027Historical instructors & teaching patterns
TARA LA ROWE is recorded teaching in Spring 2020, Spring 2022, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Online Only | 0 / 25 | 0 |
| LEC 001 | Online Only | 0 / 25 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Spring 2024: 3.70 GPA, 80.0% A/AB (n=30 letter grades); Spring 2025: 3.71 GPA, 78.9% A/AB (n=19 letter grades); Spring 2026: 3.95 GPA, 95.2% A/AB (n=21 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- The course covers diet-health-disease relationships in human populations, integration of animal and clinical study results, dietary risk and protective factors, advanced diet assessment, and basic epidemiologic approaches.
Skills
- Students learn to evaluate diet-health-disease relationships, integrate animal and clinical study findings, assess dietary risk or protective factors, perform advanced diet assessment, and apply basic epidemiologic methods.
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introduction to Nutritional Epidemiology
Recorded 2026-10-14Introduction to Nutritional Epidemiology
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:694:014072",
"course_id": "NUTRSCI/POPHLTH 621",
"course_uid": "course_16bde5fce92e5c9a331a3dbe",
"term_id": "1274",
"source_course_id": "014072",
"source_subject_id": "694",
"title": "Introduction to Nutritional Epidemiology",
"credits_min": 1,
"credits_max": 1,
"typically_offered": "Fall"
},
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:810:014072",
"course_id": "NUTRSCI/POPHLTH 621",
"course_uid": "course_16bde5fce92e5c9a331a3dbe",
"term_id": "1274",
"source_course_id": "014072",
"source_subject_id": "810",
"title": "Introduction to Nutritional Epidemiology",
"credits_min": 1,
"credits_max": 1,
"typically_offered": "Fall"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "2e722479d5c5fd1de929402960754a4ef8857ea12a22baf763089f52a6cb5a89",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}